GitLab

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

fix : TE virtuelenv discovery
Signed-off-by: tejaswinp <tejaswinp@nvidia.com>

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Get default dtype from pytorch
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Review comments
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix ONNX export of layer_norm

ONNX has a spec bug: ConstantOfShape supports all dtypes except for BF16.
To WAR we use dtype FP32 and then cast to BF16.

Will also issue a PR to the ONNX sig committee to change the spec in opset 20.
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* fix lint
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add cast_transpose

Add gelu, gelu_fp8

Add cast_transpose_bgrad_dgelu

Add layernorm_fwd and layernorm_fwd_fp8

Add layernorm_bwd
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Fix missing header
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

---------
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* add long sequence support and unify three backends for fused attention
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update cudnn-frontend to v0.9.1
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace cpu_float2half_rn with __float2half_rn
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix backend selection and NVTEDType
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fixes
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* make cudnn plan caches thread_local
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix CI
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace cuDNN throw with NVTE_CHECK
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix replacement of cuDNN throw with NVTE_CHECK
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* force dropout probablity to 0 in inference mode
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* change negInfinity to be consistent with m512 fused attn
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove float2half conversion for scale_dropout
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add back runtime api for sm detection
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add gemm3 to enums FP8Fwd/BwdTensors
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* change dropout from no to yes for fmha_v1
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove output_rng_state in m512 kernels
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix elts_per_thread calculation in kvpacked fwd
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove dropout=0.0 restriction for m512 fused attn
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove output_rng_state completely from m512 kernels
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Update README.rst

Added NVIDIA NeMo to Integrations section
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Same filename is used for all activations, file is getting overridden to last activation type
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Enable fused attention dropout
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Cast the uint32 key/counter to int64
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update dropout support in fused attention docs
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Revise devPtrCuSeqlen* to align the naming
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Support different Jax PRNG impls
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Revert CastAsync since it is not used
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Implement is_training for 16-bit fused attn
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add fused attn with dropout sanity unit tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Enhance the comments readability and rng_state checker
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Change the attention dropout shape to align other frameworks
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Make encoder tests deterministic
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Change the default seed for the jax encoder tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Maintain offset in TE
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Enhance the resource safety
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Revert rng_state type to allow only i64
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Handle the corner case for elts_per_threads calculation
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Populate rng state by kernels
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Rename rng_state as seed in cpp_extensions
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update the attention dropout comment
Signed-off-by: Reese Wang <rewang@nvidia.com>

---------
Signed-off-by: Reese Wang <rewang@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add self_attn_mask_type and replace attn_type
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Refine the keyword style for the better readability
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Replace attn_type with attn_mask_type in praxis transformer
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix typos
Signed-off-by: Reese Wang <rewang@nvidia.com>

---------
Signed-off-by: Reese Wang <rewang@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Changed VERSION to 0.11.0dev
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix softmax ONNX export

* BF16 is validated using "fake i/o": ie. instead of using BF16 as input/output, use FP32 input/output and convert to/from BF16 in the forward method.

* Wrap softmax symbolic functions with conversion to/from FP32 to produce the same semantics as TE's softmax (compute is performed at FP32 precision regardless of input/output data type).
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* ONNX export Code refactoring

Share function compute_in_fp32 between softmax.py (softmax symbolic functions) and te_onnx_extensions.py (the rest of the symbolic functions).
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Fix exports
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* lint
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* ReLU ONNX export
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add GLU variants
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* linter check
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Export reglu, geglu, swiglu
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Review comments
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Update README.rst

Added additional integrations
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

* Update README.rst

Added DeepSpeed integration
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

---------
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Added ReLU and GLU variants to common
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* pyTorch changes
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* PyTorch C++ lint
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fix
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Bug fix
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* More fixes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix storage errors
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Compute bgrad
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix numerical tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix ONNX export tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Review comments
Co-authored-by: Przemyslaw Tredak <ptrendx@gmail.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Move jax.experimental.maps.Mesh to jax.sharding.Mesh
Signed-off-by: Reese Wang <rewang@nvidia.com>

This reverts commit 914f3841

.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* fix BF16 onnx export for ort verification
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* Update transformer_engine/pytorch/attention.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: asfiyab-nvidia <117682710+asfiyab-nvidia@users.noreply.github.com>

---------
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>
Signed-off-by: asfiyab-nvidia <117682710+asfiyab-nvidia@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Only use one gpu for tensorflow tests
Signed-off-by: kaixih <kaixih@nvidia.com>

* Simplify the change
Signed-off-by: kaixih <kaixih@nvidia.com>

* Final fix
Signed-off-by: kaixih <kaixih@nvidia.com>

---------
Signed-off-by: kaixih <kaixih@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Update README.rst

1/ added a nav header with links
2/ added integrations section
3/ minor grammatical changes
4/ added link to release notes
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

* Update README.rst

Update NGC PyT container usage instructions
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

* Update README.rst

- added pre-reqs under installation
- reorganized useful links as papers and videos
- updated integrations to include upcoming work
- updated copy in contributing section
- updated highlights section
- updated nav header
- added latest news section
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

* Update README.rst
Co-authored-by: Santosh Bhavani <santosh.bhavani@live.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Update README.rst

- updated integrations section
- add DL FW support info
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

---------
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Use torch.compile for version 2.0 and higher
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Address review
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Remove unused import
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* use torch.__version__
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Use NVFuser for dropout fusions
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix onnx tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Use the same default in the function to what the class default.
Signed-off-by: Frederic Bastien <fbastien@nvidia.com>

* Assert instead of silently ignoring not supported variation. Small doc correction, amax_compute_algo is partially supported.
Signed-off-by: Frederic Bastien <fbastien@nvidia.com>

* Fix line lenght to fix the CI.
Signed-off-by: Frederic Bastien <fbastien@nvidia.com>

* Apply suggestions from code review
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Frédéric Bastien <frederic.bastien@gmail.com>

* grammar
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Clarify that it is only TE/JAX that don't support that faeture.
Signed-off-by: Frederic Bastien <fbastien@nvidia.com>

* Update transformer_engine/jax/fp8.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Frédéric Bastien <frederic.bastien@gmail.com>

* Update the test following the change in default value
Signed-off-by: Frederic Bastien <fbastien@nvidia.com>

* Fix ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Frederic Bastien <fbastien@nvidia.com>
Signed-off-by: Frédéric Bastien <frederic.bastien@gmail.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* First step of PaddlePaddle integration
- Add build option for paddle
- Add basic test framework
- Add 3 basic operators: cast_from_fp8, cast_to_fp8, gemm
Signed-off-by: Tian Zheng <tizheng@nvidia.com>
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Fix review comments
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Support paddle build
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add paddle build support for new building framework
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Fix review comments
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Clean up build process for Paddle stub file
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Minor fixes
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Fix pylint "wrong-import-order" warning
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Fix review comments
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Skip BF16 GEMM tests for unsupported arch
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

---------
Signed-off-by: Tian Zheng <tizheng@nvidia.com>
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* add bf16 subgraph tests
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* changes:
1. Add normal mode BF16 tests for all subgraphs
2. Add fake BF16 tests for low-level subgraphs
3. Separate IO serialization from validation
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* ONNX export test - BF16 support part 1

TE infer returns torch.tensor, to support output of bf16 which is
currently not supported in numpy
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>

* ONNX export test - BF16 support part 2

- Separate TE infer from serialize
- Fix serialize function to use full path
- Set unique filenames for fake bf16 (avoid overriding standard bf16)
- Remove overwriting fake_bf16_io value
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>

* Export test: Slight tolerance increase in test_export_gpt_generation

Causes sporadic failures ~1% of all runs
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>

* Remove GEMM fake-bf16 export test and patch to enable it
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>

* Review
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fix
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Asfiya Baig <asfiyab@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fix headers for doxygen
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix description f16 and use half precision instead
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>

* fix lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Signed-off-by: Ming Huang <mingh@nvidia.com>

* Ignore IDE files
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Fix typing errors
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Ignore devcontainer files
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Avoid import from private module
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Apply @timmoon10 's suggestions
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

---------
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* extend fp8 weight placeholders logic for Linear, LNLinear, LNMLP
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update transformer_engine/pytorch/module/base.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update transformer_engine/pytorch/module/base.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update transformer_engine/pytorch/module/base.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update transformer_engine/pytorch/module/base.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update transformer_engine/pytorch/module/base.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update transformer_engine/pytorch/module/layernorm_linear.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update transformer_engine/pytorch/module/layernorm_mlp.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update transformer_engine/pytorch/module/linear.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update linear.py
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update layernorm_linear.py
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* Update layernorm_mlp.py
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* lint
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

pin FA version
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Refactor Setuptools build system

Successfully launches CMake install, but installs CMake extensions in temp dir.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug JAX build

Fix pybind11 import. Distinguish between build-time and run-time dependencies.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add helper function to determine dependencies
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add missing license
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug case where system CMake is too old
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add missing license
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Simplify sanity import tests

Just importing modules provides richer error messages.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Properly install submodules
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Install helper library for TensorFlow
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update documentation
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Do not install Ninja by default
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Include Git commit hash in version string
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Override build_ext.build_extensions instead of build_ext.run
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix incorrect include path

Restore Ninja dependency. Restore overriding build_ext.run func.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Review suggestions from @nouiz
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Disable parallel Ninja jobs in GitHub actions
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Properly install userbuffers lib
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Tweak install docs

Review suggestion from @ksivaman
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add examples for specifying framework in docs
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Rotary Position Embedding
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* remove einops
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Improve docstr
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Clearer error messages for dtype and shape assertions
Signed-off-by: Carlos Mocholí <carlossmocholi@gmail.com>

* Update transformer_engine/pytorch/utils.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Carlos Mocholí <carlossmocholi@gmail.com>

* Update transformer_engine/pytorch/utils.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Carlos Mocholí <carlossmocholi@gmail.com>

---------
Signed-off-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Unfused scale+softmax if bias is present
Signed-off-by: Reese Wang <rewang@nvidia.com>

* WAR a causal masking + no_bias bug and add the unittests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix the optional args (bias) sharding
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Disable fused attn in JAX by default, enable it with NVTE_USE_FUSED_ATTN
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add thread local for the plan cache
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Rename dbeta to dbias for the readability
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add scaled softmax with dropout test cases
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Updated NVTE_FUSED_ATTN variable name
Signed-off-by: Reese Wang <rewang@nvidia.com>

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Signed-off-by: Reese Wang <rewang@nvidia.com>